Difference between AI, ML, and DL

Today’s world get benefit from artificial intelligence every day, whether they are music system, OTT platforms, and E-Commerce platforms. Systems are getting smarter day by day. However, the confusion between the terms artificial intelligence, Machine learning, and deep learning remains

Below I attempt to explain the important parts of artificial intelligence and how they fit together

How they are related to each other?

Euler Diagram

Artificial intelligence is a science like mathematics or biology. It studies ways to build intelligent programs and machines that can creatively solve problems, which has always been considered a human prerogative.

• Artificial Intelligence is completely a different thing from Machine learning and deep learning, actually deep learning and machine learning both are the subsets of AI. AI is the ability of computer programs to function like a human brain.
• AI means to replicate a human brain, the way a human brain thinks, works and functions. There is no proper Artificial Intelligence till now but are very close to establishing it, one of the examples of AI is Sophia, the most advanced AI model present today.

Machine learning is a subset of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In ML, there are different algorithms (e.g. neural networks) that help to solve problems.

• Machine Learning is a technique of analyzing data, learn from that data and then apply what they have learned to a model to make a knowledgeable decision.
• Nowadays many big companies use machine learning to give their users a better experience, some examples are, Amazon using machine learning to give better product choice recommendations to their customers based on their preferences, Netflix uses machine learning to give better suggestions to their users of the Tv series or movie or shows that they would like to watch.

Deep learning, or deep neural learning, is a subset of machine learning, which uses neural networks to analyze different factors with a structure that is similar to the human neural system

Deep learning is a class of machine learning algorithms inspired by the structure of the human brain. Deep learning algorithms use complex multi-layered neural networks, where the level of abstraction increases gradually by non-linear transformations of input data. In a neural network, the information is transferred from one layer to another over connecting channels. They are called weighted channels because each of them has a value attached to it.

Hope you enjoyed reading this article.